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Software Engineer, Machine Learning

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Glean

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Location:
United States , San Francisco Bay Area

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Contract Type:
Not provided

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Salary:

140000.00 - 265000.00 USD / Year

Job Description:

Glean is looking for engineers to help build the world’s best search and assistant product for work. Our engineers work on a range of systems across the stack, including query understanding, document understanding, domain-adapted language models, natural language question-answering, evaluation, and experimentation. We interact regularly with customers, deeply understand their pain points, and use whatever tool is necessary, simple or complex, to solve their problems.

Job Responsibility:

  • Invent new signals to improve the personalization of our search engine
  • Train a model to capture interactions between signals in our ranking system
  • Design smarter ways to domain-adapt language models to each customer’s corpus
  • Discover new ways of combining LLMs with search engines to answer complex questions
  • Write robust code that’s easy to read, maintain, and test
  • Mentor more junior engineers, or learn from battle-tested ones

Requirements:

  • 2+ years of experience
  • BA/BS in computer science, math, sciences, or a related degree
  • Experience working with search, recommendation, natural language processing, or other large systems involving machine learning
  • Strong analytical skills and ability to work with data
  • Proven ability to design, build, and ship production-ready models
  • Proficiency in your ML framework of choice
  • Strong coding skills (Python, Go, Java, C++, ...)
  • Thrive in a customer-focused, tight-knit and cross-functional environment - being a team player and willing to take on whatever is most impactful for the company is a must
  • A proactive and positive attitude to lead, learn, troubleshoot and take ownership of both small tasks and large features
What we offer:
  • Medical, Vision, and Dental coverage
  • generous time-off policy
  • opportunity to contribute to your 401k plan
  • home office improvement stipend
  • annual education and wellness stipends
  • vibrant company culture through regular events
  • healthy lunches daily

Additional Information:

Job Posted:
January 06, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

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